Generate slugged wiki foundation pages from Wikipedia or LLM definitions.
npx skills add https://github.com/Lambenthan/empiricalwiki --skill prefill-lambenthan
Please help me install this Agent Skill. Skill: /prefill Source: https://github.com/Lambenthan/empiricalwiki/tree/main/.claude/skills/prefill Command: npx skills add https://github.com/Lambenthan/empiricalwiki --skill prefill-lambenthan
It prevents your wiki from generating duplicate, textbook-style concept pages by pre-filling foundational knowledge for a given research domain in a controlled, terminal-only way.
wiki/foundations/{slug}.md only if it doesn’t already exist, never overwriting existing pages.domain, or infers it from wiki/topics/*.md tags, or supports --add "概念名" to seed a single foundation directly.Ask the assistant to run: /prefill NLP.
High-intent search queries and answers about installing and using this skill.
To prevent duplicate concept pages when seeding a research wiki, use a prefill workflow that performs idempotent writes. It generates slugged foundation pages from templates only if they do not already exist, ensuring consistent foundational terminology without overwriting prior definitions.
Wikipedia ingestion for building wiki foundations fetches summaries and structured sections to create definition pages. When a specific Wikipedia page is missing, the process uses a graceful fallback to LLM-derived knowledge to maintain domain coverage.
Yes, you can seed a single concept page instead of an entire domain by using a targeted addition command. This allows manual prefill of individual slugged foundation pages directly, while still updating the wiki index and logs.
No, you do not need to specify a domain taxonomy manually for the prefill process. The system can use an explicit domain, or it can automatically infer the domain by reading topic tags from existing wiki topics files.
Existing markdown files are completely protected when pre-filling foundational knowledge. The process strictly avoids duplicate concept pages by checking for existing files and never overwriting them, ensuring your current wiki foundations remain unchanged.
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